Results 51 to 60 of about 5,851 (265)
Spatial biology in cancer epigenetics
Molecular Oncology, EarlyView.Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley +1 more source
Energies, 2018 When a fault occurs in a section or a component of a given power system, the malfunctioning of protective relays (PRs) and circuit breakers (CBs), and the false and missing alarms, may manifestly complicate the fault diagnosis procedure.
Huizhong Song +7 more
doaj +1 more source
Pool & Discard Algorithm for Chance Constrained Optimization Problems
IEEE Access, 2020 In this paper, we describe an effective algorithm for handling chance constrained optimization problems, called the Pool & Discard algorithm. The algorithm utilizes the scenario approximation framework for chance constrained optimization problems ...
Jakub Kudela, Pavel Popela
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Molecular Oncology, EarlyView.The cell‐autonomous roles of interferon type 1 vary based on duration and intensity. While acute, robust signaling results in cancer cell cytotoxic effects, sustained, low‐level signaling is associated with tumor‐promoting effects. This review summarizes current research of IFN‐1 in cancer and within the clinical setting, with an emphasis on female ...
Ashlyn Conant +7 more
wiley +1 more source
IEEE Access, 2019 A day-ahead economic scheduling method based on chance-constrained programming and probabilistic sequence operation is proposed in this paper for an electric vehicle (EV) battery swapping station (BSS), considering the dual uncertainties of swapping ...
Hong Liu +4 more
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Scenario Grouping and Decomposition Algorithms for Chance-Constrained Programs
INFORMS Journal on Computing, 2020 A lower bound for a finite-scenario-based chance-constrained program is the quantile value corresponding to the sorted optimal objective values of scenario subproblems. This quantile bound can be improved by grouping subsets of scenarios at the expense of solving larger subproblems. The quality of the bound depends on how the scenarios are grouped. In
Yan Deng +4 more
openaire +2 more sources
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
A simulation based research on chance constrained programming in robust facility location problem
Open Physics, 2017 Since facility location decisions problem include long-term character and potential parameter variations, it is important to consider uncertainty in its modeling.
Kaijun Leng +3 more
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Resilient and sustainable supplier selection: a chance-constrained approach under disruption risk [PDF]
Modern Supply Chain Research and ApplicationsPurposeIn today’s volatile business environment, firms are required to balance cost efficiency, sustainability and operational resilience to sustain competitiveness.
Laila Messaoudi +2 more
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Pathways and pitfalls: a qualitative study of student experiences in biomedical science education
FEBS Open Bio, EarlyView.Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell +8 more
wiley +1 more source